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Russia-associated sanctions and asset’s value: determination of yield on investment from the liquidity perspective

Author

Listed:
  • Jawad Saleemi

    (Business School, Universitat Politècnica de València, València, Spain)

Abstract

In this study, the time-varying pattern of returns with the trading cost is assessed in light of sanctions on the Russia’s economy. The analysis is performed on the Moscow Exchange Index (MOEX) using the ordinary least squares (OLS) method, Bayes’ Theorem technique, and vector error correction model (VECM). Firstly, the transparency of asset’s value in the same trading period was noted to execute the trade with a limited price impact. Thus, the liquidity seems not priced in returns. In addition, the posterior probability of the transparent asset’s value stabilized the market at a limited transaction cost. In this case, there is less likelihood of liquidity acting as a risk element in returns during the same trading session. These results correspond to the era without sanctions, as well as economic restrictions period. Before the economic restrictions, the execution of investment occurred on its real or close value due to the market transparency in the following trading period. This implies, that the past trading cost series is not priced in yields on investment. During the Russia-related sanctions, a higher price impact of transaction was noted due to the ambiguity in the future asset’s value. Therefore, the past liquidity series is a pricing element in the short run and long run. The analysis suggests a potential inference of trading cost to determine the yield on investment.

Suggested Citation

  • Jawad Saleemi, 2024. "Russia-associated sanctions and asset’s value: determination of yield on investment from the liquidity perspective," Economic Analysis Letters, Anser Press, vol. 3(3), pages 19-31, September.
    • Handle: RePEc:bba:j00004:v:3:y:2024:i:3:p:19-31:d:350
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    References listed on IDEAS

    as
    1. Francisco Guijarro & Ismael Moya-Clemente & Jawad Saleemi, 2019. "Liquidity Risk and Investors’ Mood: Linking the Financial Market Liquidity to Sentiment Analysis through Twitter in the S&P500 Index," Sustainability, MDPI, vol. 11(24), pages 1-13, December.
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